Literature DB >> 25288536

Electroencephalography as a post-stroke assessment method: An updated review.

E Monge-Pereira1, F Molina-Rueda2, F M Rivas-Montero2, J Ibáñez3, J I Serrano4, I M Alguacil-Diego2, J C Miangolarra-Page2.   

Abstract

Given that stroke is currently a serious problem in the population, employing more reliable and objective techniques for determining diagnosis and prognosis is necessary in order to enable effective clinical decision-making. EEG is a simple, low-cost, non-invasive tool that can provide information about the changes occurring in the cerebral cortex during the recovery process after stroke. EEG provides data on the evolution of cortical activation patterns which can be used to establish a prognosis geared toward harnessing each patient's full potential. This strategy can be used to prevent compensation and maladaptive plasticity, redirect treatments, and develop new interventions that will let stroke patients reach their new maximum motor levels.
Copyright © 2014 Sociedad Española de Neurología. Publicado por Elsevier España, S.L.U. All rights reserved.

Entities:  

Keywords:  Desincronización relacionada con eventos; Electroencefalografía; Electroencephalography; Event-related desynchronisation; Event-related synchronisation; Ictus; Movement-related cortical potentials; Plasticidad; Plasticity; Potenciales corticales relacionados con el movimiento; Sincronización relacionada con eventos; Stroke

Mesh:

Year:  2014        PMID: 25288536     DOI: 10.1016/j.nrl.2014.07.002

Source DB:  PubMed          Journal:  Neurologia        ISSN: 0213-4853            Impact factor:   3.109


  4 in total

1.  The role of virtual reality in improving motor performance as revealed by EEG: a randomized clinical trial.

Authors:  Rocco Salvatore Calabrò; Antonino Naro; Margherita Russo; Antonino Leo; Rosaria De Luca; Tina Balletta; Antonio Buda; Gianluca La Rosa; Alessia Bramanti; Placido Bramanti
Journal:  J Neuroeng Rehabil       Date:  2017-06-07       Impact factor: 4.262

2.  Bilaterally Reduced Rolandic Beta Band Activity in Minor Stroke Patients.

Authors:  Joshua P Kulasingham; Christian Brodbeck; Sheena Khan; Elisabeth B Marsh; Jonathan Z Simon
Journal:  Front Neurol       Date:  2022-03-28       Impact factor: 4.003

3.  Multi-Granularity Analysis of Brain Networks Assembled With Intra-Frequency and Cross-Frequency Phase Coupling for Human EEG After Stroke.

Authors:  Bin Ren; Kun Yang; Li Zhu; Lang Hu; Tao Qiu; Wanzeng Kong; Jianhai Zhang
Journal:  Front Comput Neurosci       Date:  2022-03-31       Impact factor: 2.380

4.  Neuroplasticity after upper-extremity rehabilitation therapy with sensory stimulation in chronic stroke survivors.

Authors:  Christian Schranz; Amanda Vatinno; Viswanathan Ramakrishnan; Na Jin Seo
Journal:  Brain Commun       Date:  2022-07-24
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.